Predictive risk modelling in mental health issues using machine learning on graphs

被引:0
|
作者
Lu, Haohui [1 ]
Uddin, Shahadat [1 ]
Hajati, Farshid [2 ]
Khushi, Matloob [3 ]
Moni, Mohammad Ali [4 ]
机构
[1] School Of Project Management, Faculty Of Engineering, The University Of Sydney, Australia
[2] College Of Engineering And Science, Victoria University Sydney, Australia
[3] School Of Computer Science, Faculty Of Engineering, The University Of Sydney, Australia
[4] School Of Health And Rehabilitation Sciences, The University Of Queensland, Australia
关键词
Compendex;
D O I
2022 Australasian Computer Science Week, ACSW 2022
中图分类号
学科分类号
摘要
Forecasting
引用
收藏
页码:168 / 175
相关论文
共 50 条
  • [1] Predictive risk modelling in mental health issues using machine learning on graphs
    Lu, Haohui
    Uddin, Shahadat
    Hajati, Farshid
    Khushi, Matloob
    Moni, Mohammad Ali
    2022 AUSTRALIAN COMPUTER SCIENCE WEEK (ACSW 2022), 2022, : 168 - 175
  • [2] Mental Health Predictive Analysis Using Machine-Learning Techniques
    Jain, Vanshika
    Kumari, Ritika
    Bansal, Poonam
    Dev, Amita
    SMART TRENDS IN COMPUTING AND COMMUNICATIONS, VOL 4, SMARTCOM 2024, 2024, 948 : 103 - 115
  • [3] Conazoles' health risk prediction: integrating knowledge graphs and machine learning predictive models
    Telleria Zufiaur, J.
    Valls-Margarit, J.
    Pineiro, J.
    Furlong, L. I.
    TOXICOLOGY LETTERS, 2024, 399 : S134 - S134
  • [4] Predictive modelling and identification of key risk factors for stroke using machine learning
    Hassan, Ahmad
    Ahmad, Saima Gulzar
    Munir, Ehsan Ullah
    Khan, Imtiaz Ali
    Ramzan, Naeem
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [5] Predictive Sleep Disorder Modelling: Using Machine Learning with Lifestyle and Sleep Health Data
    Kumar, Mukesh
    Ahmed, Bilal
    Mishra, Hari Mohan
    Jha, Amit Kumar
    Sikarwal, Pushpendra Kumar
    Rampal, Sahil
    2024 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND APPLIED INFORMATICS, ACCAI 2024, 2024,
  • [6] Predictive modelling and analytics for diabetes using a machine learning approach
    Kaur, Harleen
    Kumari, Vinita
    APPLIED COMPUTING AND INFORMATICS, 2022, 18 (1/2) : 90 - 100
  • [7] Using machine learning to find brain correlates of genetic risk for mental health conditions
    Fell, Christina
    Sindermann, Lisa
    Forstner, Andreas
    Lynch, Andy
    Harris-Birtill, David
    Paracchini, Silvia
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2024, 32 : 652 - 652
  • [8] Cardiovascular disease risk prediction via machine learning using mental health data
    Dorraki, M.
    Liao, Z.
    Abbott, D.
    Psaltis, P. J.
    Baker, E.
    Bidargaddi, N.
    Van Den Hengel, A.
    Narula, J.
    Verjans, J. W.
    EUROPEAN HEART JOURNAL, 2022, 43 : 2784 - 2784
  • [9] Mental Health Risk Adjustment with Clinical Categories and Machine Learning
    Shrestha, Akritee
    Bergquist, Savannah
    Montz, Ellen
    Rose, Sherri
    HEALTH SERVICES RESEARCH, 2018, 53 : 3189 - 3206
  • [10] Predictive Modelling for Concrete Failure at Anchorages Using Machine Learning Techniques
    Spyridis, Panagiotis
    Olalusi, Oladimeji B.
    MATERIALS, 2021, 14 (01) : 1 - 22